From Programming Languages to Data Integration, the Top Tools for all things Data

The growing demand from enterprises has been driving the growth of data. Recent surveys point to an exponential growth in volume and size in the coming years. Most of those surveyed agree that it can improve their competitive advantage, change business outcomes, and revolutionize business operations. The hottest ‘commodity’ in the IT market today, big data generates actionable insights useful in determining and predicting the rate of profitability and growth.

With more companies looking to implement a data-driven strategy, the market has been flooded with tools and technological innovations to extract, organize and analyze crucial data assets. The most popular of these are the ones which can be customized to fit any requirement. Here are some of the top tools for BI, Data Integration, Analytics, Programming, etc (this is not an exhaustive list):

Programming Languages, and Tools

Python – programming language

Mahout – Machine learning programming language

Skytree – Machine learning programming language

Lingual

Pattern

Impala by Cloudera

R – MVP – statistical tools

Storm – Stream processing by Twitter

LucidWorks – Search, based on Apache Solr

Giraph – Graph processing by Facebook

BI, Data Integration, and Analytics

Talend

Pentaho

ODI by Oracle

MS BI by Microsoft

Cognos by IBM

Tableau

Jaspersoft by Tibco

Spotfire by Tibco

Sql Databases

MySql by Oracle

MariaDB

PostgreSQL

TokuDB

NoSql database

MongoDB

Cassandra

Hbase

In conclusion, it is evident that data is the driving force behind the IT transformation that is taking place. It has become a powerful metric for measuring business performance and outcome for most enterprises, big and small.